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Video Games, Entertainment, Consumer Electronics, Software

Sr Engineer, Data Scientist (NTD)

Redmond, WAOnsiteFull TimeSenior$145,150–$261,200 /yrPosted 1 month ago

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Required skills

  • Python
  • C++
  • Git
  • embedded systems
  • neural networks
  • data cleaning
  • performance constraints
  • memory constraints

Role summary

Nintendo Technology Development is seeking a Sr. Engineer, Data Scientist to join their team in Redmond, Washington. This role involves delivering complex engineering projects, identifying opportunities and risks, and mentoring other engineers. The primary focus will be on training, evaluating, and optimizing neural networks for embedded platforms, managing model performance and memory constraints, and data preparation. The position requires 5-8+ years of data science experience, 3+ years with deep learning libraries, fluency in Python, and experience with C/C++ and Git. Experience with embedded systems is a plus. This is an onsite, full-time role.

Nintendo Technology Development

The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switch™ system and the Nintendo 3DS™ family of portable systems. Since 1983, when it launched the Nintendo Entertainment System™, Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy™, Game Boy Advance, Nintendo DS™ family of systems, Super NES™, Nintendo 64™, Nintendo GameCube™, Wii™ and Wii U™ systems. It has also created industry icons that have become well-known, household names, such as Mario, Donkey Kong, Metroid, Zelda and Pokémon. A wholly owned subsidiary, Nintendo Technology Development, based in Redmond, Washington, creates future hardware/software technology and researches North American-based technologies.

Nintendo is an equal opportunity employer. We offer a welcoming and inclusive environment in service to one another, our products, the diverse consumers we represent, and the communities we call home. We do all of this with kindness, empathy and respect for each other.

SUMMARY: Delivers end-to-end complex engineering projects and proactively identifies opportunities & risks at a module level. Acts as a resource and mentor for other engineers.

DESCRIPTION OF DUTIES

  • Train, evaluate, and optimize neural networks for execution on embedded platforms
  • Work with platform engineers to meet model performance and memory constraints
  • Write scripts to facilitate neural network model development and use
  • Procure and clean data necessary for training models
  • Effectively communicate with other teams, especially as it relates to domain-specific knowledge, model quality, and model performance
  • Documents work according to defined processes
  • Provides coaching and mentorship and acts as a resource to other engineers
  • Participates as a key contributor to the hiring process
  • Up to 10% travel; domestic and international

    • SUMMARY OF REQUIREMENTS

  • 5-8+ years of professional experience as a data scientist
  • 3+ years of professional experience working with deep learning libraries
  • Fluency in Python
  • Possess strong debugging and troubleshooting skills
  • Familiar with Git workflow
  • Experience with C and/or C++
  • Experience with embedded systems is a plus
  • BS or MS in CS/Applied Mathematics/Statistics or related field

    • Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role.

    This position is onsite in Redmond, WA, and not open to remote status at this time.

    This position includes the base pay range listed below, potential for a semi-annual discretionary performance bonus, and a comprehensive benefits package that includes medical, dental, vision, 401(k), and paid time off.

    Pay Range:$145,150—$261,200 USD
    Ready to apply?
    You'll be redirected to Nintendo's application page.

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